tf.raw_ops.ParallelBatchDataset(
input_dataset, batch_size, num_parallel_calls, drop_remainder, output_types,
output_shapes, parallel_copy=False, deterministic='default', name=None
)
Args |
|---|
input_dataset
|
A Tensor of type variant.
|
batch_size
|
A Tensor of type int64.
|
num_parallel_calls
|
A Tensor of type int64.
|
drop_remainder
|
A Tensor of type bool.
|
output_types
|
A list of tf.DTypes that has length >= 1.
|
output_shapes
|
A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
|
parallel_copy
|
An optional bool. Defaults to False.
|
deterministic
|
An optional string. Defaults to "default".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
